Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model
A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that ca...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/4949265 |
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| _version_ | 1832556487924252672 |
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| author | Ruiguo Liu Xuehui Gao |
| author_facet | Ruiguo Liu Xuehui Gao |
| author_sort | Ruiguo Liu |
| collection | DOAJ |
| description | A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC. |
| format | Article |
| id | doaj-art-a057637e14d3492e909385e0cebc2d25 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a057637e14d3492e909385e0cebc2d252025-02-03T05:45:17ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/49492654949265Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like ModelRuiguo Liu0Xuehui Gao1Department of Mechanical and Electrical Engineering, Shandong University of Science and Technology, Tai’an 271019, ChinaDepartment of Mechanical and Electrical Engineering, Shandong University of Science and Technology, Tai’an 271019, ChinaA new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.http://dx.doi.org/10.1155/2019/4949265 |
| spellingShingle | Ruiguo Liu Xuehui Gao Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model Complexity |
| title | Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model |
| title_full | Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model |
| title_fullStr | Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model |
| title_full_unstemmed | Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model |
| title_short | Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model |
| title_sort | neural network identification and sliding mode control for hysteresis nonlinear system with backlash like model |
| url | http://dx.doi.org/10.1155/2019/4949265 |
| work_keys_str_mv | AT ruiguoliu neuralnetworkidentificationandslidingmodecontrolforhysteresisnonlinearsystemwithbacklashlikemodel AT xuehuigao neuralnetworkidentificationandslidingmodecontrolforhysteresisnonlinearsystemwithbacklashlikemodel |